cache() do not work with collect(), but works with take(...) - apache-spark

Question

I am trying to cache a DataFrame into Memory. When I use collect() after cache(), the DataFrame never gets cached in Memory. But when I use take(N), the DataFrame gets cached in Memory.
I would like to know Why am I not able to cache the DataFrame while calling collect() ? Given below is the example using both collect() & take()
cache() behavior with collect()
scala> val hc = new org.apache.spark.sql.hive.HiveContext(sc)
scala> hc.sql("select * from sparkdb.firsttable").cache()
res0: org.apache.spark.sql.DataFrame = [name: int]
scala> res0.collect()
res1: Array[org.apache.spark.sql.Row] = Array([12], [13], [14], [15])
As you can see, the DataFrame is not cached in this case. I was expecting the DataFrame to be cached when executing the action collect()
cache() behavior with take(N)
scala> res0.take(30)
res2: Array[org.apache.spark.sql.Row] = Array([12], [13], [14], [15])
As you can see, calling take(N) does cache the DataFrame in Memory.
PS : Given below is some other additional information
Storage Info after collect()
scala> sc.getRDDStorageInfo
res2: Array[org.apache.spark.storage.RDDInfo] = Array()
Storage Info after take()
scala> sc.getRDDStorageInfo
res3: Array[org.apache.spark.storage.RDDInfo] =
Array(RDD "HiveTableScan [name#0], (MetastoreRelation sparkdb,
firsttable, None), None
" (3) StorageLevel: StorageLevel(false, true, false, true, 1);
CachedPartitions: 1; TotalPartitions: 1; MemorySize: 256.0 B;
ExternalBlockStoreSize: 0.0 B; DiskSize: 0.0 B)